Operating intelligence for hospital leadership

Turn fragmented hospital data into executive-ready operating intelligence

SanaLytics unifies hospital data ingestion, maps it into a trusted operating model, isolates the drivers behind change, and supports executive decisions with AI-assisted investigation. Leadership teams can see where LOS, margin, case mix, documentation, and physician variation are moving, then decide what deserves attention next.

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Unified ingestion

Bring operations, finance, documentation, case mix, and physician data into one trusted operating layer.

Driver isolation

Separate mix shift, throughput drag, documentation lift, and performance variation before leadership takes action.

Executive support

Move from analysis to operating reviews, decision support, and AI-assisted investigation without losing rigor.

Early pilot and design-partner conversations

Built for hospitals and health systems that want a credible operating intelligence layer, not generic BI plus generic AI.

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workspace.sana-lytics.com/executive-review

Enterprise workspace

March executive review

Systemwide performance drivers

One operating layer for unified data ingestion, driver-level analysis, AI-assisted investigation, and executive reporting.

Example hospital dataset

Updated 08:30 PT

Unified model

Driver views

AI assist

Memo ready

Case mix shift

+0.18

Higher-acuity cardiovascular and surgical volumes are lifting the enterprise profile.

Length-of-stay

+0.6d

Discharge coordination and post-acute placement remain the primary throughput drag.

Documentation lift

$1.2M

Open CC/MCC follow-up and query backlog still represent recoverable value.

Margin at risk

-1.8 pts

Mix gains are being diluted by throughput friction and downgrade pressure.

Performance drivers

Mix, throughput, and capture trend together

MixThroughputCapture

Oct

Nov

Dec

Jan

Feb

Mar

Variation watchlist

Campus NorthLOS +0.8d

Case management handoff

Campus SouthCapture +2.4 pts

Improved query close rate

Dr. PatelCMI +0.11

Higher-acuity cardiology mix

Dr. LewisLOS +0.5d

Observation to admit delay

AI summary layer

Executive memo draft ready

AI-assisted synthesis from approved filters, metrics, and comparison views.

Case mix improved, but throughput drag is still eroding margin conversion.

LOS pressure is concentrated in two campuses and one orthopedic workflow.

Documentation completion remains a near-term financial lever worth pursuing.

Why SanaLytics

A more credible operating layer for hospital performance

SanaLytics is designed as the connective layer between raw hospital data, driver-level analytics, AI-assisted investigation, and executive action.

A unified operating layer for hospital data

Unify operational, financial, documentation, case mix, physician, and facility datasets in one executive-facing system instead of managing fragmented reporting tracks.

Driver-level performance intelligence

Separate movement caused by mix shift, throughput, documentation lift, physician variation, facility variation, or margin pressure before leadership acts on a headline KPI.

Executive-ready reporting and decision support

Move from dashboard review into operating memos, leadership reviews, and board-ready decision support without rebuilding the narrative by hand each month.

AI built to think like an operations consultant

Use AI to investigate, synthesize, and recommend better next questions in support of operators and analysts, not as a theatrical chatbot or autonomous clinical system.

How it works

Ingest, structure, analyze, investigate, support the decision

The workflow is simple by design: unify hospital data, normalize it into a trusted operating model, isolate what changed and why, then help leadership move into action with stronger reporting.

Ingest disparate hospital datasets

Pull source files and extracts across case mix, throughput, documentation, physician, facility, and financial reporting.

Normalize the operating model

Clean, map, and organize the data into a consistent structure leaders and analysts can use repeatedly.

Surface trends and performance drivers

Show where movement sits across LOS, DRGs, CMI, capture opportunity, physician variation, facility variation, and margin.

Investigate with AI-assisted workflows

Use an analyst-style copilot to summarize changes, suggest follow-up cuts, and frame the next questions worth asking.

Produce executive-ready reporting

Turn validated analysis into leadership dashboards, operating memos, and decision-ready review materials.

Platform capabilities

Purpose-built for hospital operations intelligence

The platform is designed to support the full path from unified source data and driver analytics to AI-assisted investigation and executive-ready output.

Unified data ingestion

Ingest disparate hospital datasets across encounters, throughput, documentation, service lines, finance, and reporting workflows.

Normalized operating model

Structure messy source data into a decision-ready model for LOS, GLOS, DRGs, CMI, capture opportunity, physician variation, facility variation, and margin review.

Driver-level performance analytics

Show what is changing, where it is changing, and which operational or financial drivers explain the movement.

Physician and facility performance visibility

Compare performance across physicians, facilities, and service lines with enough context to support real operating conversations responsibly.

AI-assisted investigation

Layer in AI-assisted analysis to trace likely drivers, summarize shifts, and help teams ask better follow-up questions.

Executive decision support

Move approved metrics and filter states into polished summaries, memo drafts, and leadership-ready operating narratives.

Auditability and trust

Keep source freshness, validation checks, and logic transparency close to the measures executives rely on.

Executive workflow

What questions SanaLytics helps answer

The product is designed around the operating questions hospital leadership teams tend to ask first when performance shifts.

See whether movement is being driven by case mix, throughput, documentation, or variation before the story reaches executives.

Compare physicians, facilities, and service lines without flattening context into one simplistic leaderboard.

Carry approved insights into memo-ready reporting and next-step investigation with less manual narrative rebuilding.

Throughput

Why is LOS increasing?

Separate case mix shift from discharge bottlenecks, physician variation, campus-specific workflows, and post-acute friction.

Margin

Where is margin leaking?

Connect financial pressure back to throughput drag, downgrade risk, documentation loss, and service-line mix movement.

Variation

Which physicians are driving variation?

Surface the cohorts, facilities, and specialties shaping divergence without losing the operating context behind the numbers.

Case mix

Is case mix shifting or documentation improving?

Differentiate genuine acuity movement from capture gains so leadership does not confuse operational improvement with reporting improvement.

Prioritization

What should we investigate next?

Use AI-assisted investigation to frame the next cuts, comparisons, and operating questions most likely to move the story forward.

See Platform Preview

Executive operating workspace

Illustrative product view

See how unified data ingestion, driver-level analysis, AI-assisted investigation, and memo-ready reporting can sit inside one leadership workspace.

workspace.sana-lytics.com/executive-review

Enterprise workspace

March executive review

Systemwide performance drivers

One operating layer for unified data ingestion, driver-level analysis, AI-assisted investigation, and executive reporting.

Example hospital dataset

Updated 08:30 PT

Unified model

Driver views

AI assist

Memo ready

Case mix shift

+0.18

Higher-acuity cardiovascular and surgical volumes are lifting the enterprise profile.

Length-of-stay

+0.6d

Discharge coordination and post-acute placement remain the primary throughput drag.

Documentation lift

$1.2M

Open CC/MCC follow-up and query backlog still represent recoverable value.

Margin at risk

-1.8 pts

Mix gains are being diluted by throughput friction and downgrade pressure.

Performance drivers

Mix, throughput, and capture trend together

MixThroughputCapture

Oct

Nov

Dec

Jan

Feb

Mar

Variation watchlist

Campus NorthLOS +0.8d

Case management handoff

Campus SouthCapture +2.4 pts

Improved query close rate

Dr. PatelCMI +0.11

Higher-acuity cardiology mix

Dr. LewisLOS +0.5d

Observation to admit delay

AI summary layer

Executive memo draft ready

AI-assisted synthesis from approved filters, metrics, and comparison views.

Case mix improved, but throughput drag is still eroding margin conversion.

LOS pressure is concentrated in two campuses and one orthopedic workflow.

Documentation completion remains a near-term financial lever worth pursuing.

What changed

Case mix improved, but LOS expansion and documentation leakage are shaping the operating story this month.

Why it matters

Mix alone does not explain margin performance; leadership still needs to address throughput drag and capture risk.

Questions to ask next

Which service lines explain the March LOS expansion?

Is cardiology mix shift converting into expected margin performance?

Which physician cohorts still show capture leakage after query review?

AI copilot

AI-assisted investigation with the posture of an operations consultant

This is not a consumer chatbot and not a clinical AI product. The AI layer is meant to help hospital leaders and analysts investigate variance, synthesize drivers, and move faster toward better questions and clearer reporting.

Investigate root causes with discipline

The AI layer is designed to trace likely drivers behind performance movement and summarize what changed between periods without rushing past the evidence.

Recommend stronger next questions

Instead of jumping to confident answers, the copilot can suggest which cohorts, facilities, physicians, or workflows deserve follow-up next.

Draft executive-ready decision support

Validated analysis can roll forward into leadership-ready memo language, operating-review summaries, and decision support materials.

Leadership outcome

What the platform helps leaders do better

The goal is not more dashboard volume. It is sharper operating context, faster investigation, and stronger follow-through.

Understand what is changing

Track movement across LOS, GLOS, DRGs, CMI, documentation, facility performance, physician performance, and margin in one coherent operating view.

Explain why it is changing

Break results down into mix, throughput, capture, service line, physician, and facility drivers rather than stopping at summary KPIs.

Know where to investigate next

Prioritize the facilities, service lines, physicians, and workflows most likely driving risk or opportunity.

Communicate with confidence

Carry the analysis forward into executive memos, operating reviews, and aligned leadership follow-through.

Who it’s for

Made for the teams accountable for hospital performance

SanaLytics is aimed at the leadership, finance, operations, physician, and analytics teams that need a credible shared operating picture.

Health system executives

A sharper operating lens for CEOs, COOs, and leadership teams accountable for enterprise performance.

Finance and margin leaders

Clearer visibility into case mix, LOS pressure, documentation opportunity, and the operational drivers affecting financial performance.

Hospital operations leaders

A reliable system for throughput review, service line performance, and recurring operating meetings that need shared definitions.

Physician leadership

Comparative views that help frame discussions around physician variation, documentation, and service line opportunity without flattening context.

Performance improvement teams

A clearer way to trace where performance is leaking, which questions to ask next, and how to move from signal to action.

Analytics and data teams

A presentation layer and workflow surface that respects rigorous data modeling, traceability, and reusable analytic logic.

FAQ

Common questions from hospital and health system teams

The messaging is intentionally disciplined: unified data ingestion, driver-level intelligence, executive decision support, and AI that supports analysis without hype.

What kind of hospital data is SanaLytics built around?

SanaLytics is built for hospital operational and financial intelligence. That includes case mix and DRG reporting, LOS and GLOS review, physician and facility variation, documentation and capture opportunity, and executive reporting workflows.

Is SanaLytics trying to replace a data warehouse or enterprise BI stack?

No. The platform is designed as an operational intelligence and decision-support layer that can sit on top of existing hospital data infrastructure while making the output more usable for leadership teams.

How does the platform handle DRGs and case mix reporting?

The product is built to preserve clear analytic logic, keep DRG frameworks interpretable, and support case mix analysis without turning distinct systems into one opaque score.

What role does AI play in the product?

AI is positioned as an investigation and reporting assistant. It helps summarize movement, suggest follow-up questions, and accelerate memo creation, while final judgment stays with operators and analysts.

Who is the platform meant for first?

The immediate audience is hospital and health system leadership, finance and operations teams, physician leaders, and analytics groups that need better executive-facing operational intelligence.

What does an early engagement look like?

Most conversations start with a working demo around current reporting pain points, the datasets already available, and where an early pilot or design-partner engagement could create leverage first.

Next step

See how SanaLytics could support your hospital or health system

Book a demo to walk through the platform, discuss your current reporting stack, and explore whether an early pilot or design-partner engagement makes sense.

Book a Demo